Home / Courses / Machine Learning for Red Team Hackers Introduction 3 Introduction to Course Content Code Repository Written Guide Hacking CAPTCHA Systems 7 Intro – CAPTCHA breaking Reconnaissance Constructing a Dataset Preprocessing the Dataset Training a Deep Neural Network Building a CAPTCHA Breaking Bot FoolMe Smart Fuzzing 6 Intro – What Is Fuzzing Basic Fuzzing and Code Coverage Mutation How to Write Your Own Evolutionary Fuzzer Fuzzing with AFL FuzzMe Evading Machine Learning Malware Classifiers 5 Intro – Evading Machine Learning Malware Classifiers Meet a Machine Learning Malware Classifier Modifying PE Files the Easy Way Evading a Machine Learning Malware Classifier EvadeMe Adversarial Machine Learning 5 Intro – Adversarial Machine Learning White-Box Attacks on Machine Learning Getting Started with Clarif.AI Black-Box Attack on Clarif.AI TrickMe DeepFake 5 Intro – What Is DeepFake DeepFake Crime DeepFake Dry Run Setting Up Your DeepFake Rig FakeMe Hacking Machine Learning 4 Model Stealing Attacks on ML Machine Learning Poisoning Backdoor Attacks on ML PoisonMe Machine Learning for Red Team Hackers Back to Course Introduction to Course Content https://ml4cs.com/wp-content/uploads/2020/07/introduction.mp4 Next Code Repository Leave a Reply Cancel replyCommentEnter your name or username to comment Enter your email address to comment Enter your website URL (optional)